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Hands on Real Projects using Deep learning with TensorFlow 2

Hands on Real Projects using Deep learning with TensorFlow 2

Hands on Real Projects using Deep learning with TensorFlow 2
Hands on Real Projects using Deep learning with TensorFlow 2, course 1 of 5 from Deep Tensor specialization
  • NEW
  • Created by Mohamed Elhaj Abdou
  • English
  • English [Auto-generated]


PREVIEW THIS COURSE - GET COUPON CODE

What you'll learn
  • Artificial Neural Networks (ANNs) / Deep Neural Networks (DNNs)
  • Machine Learning Algorithms
  • Learn to use TensorFlow 2.0 for Deep Learning
  • TensorFlow 1.x VS TensorFlow 2
  • Image Recognition
  • Computer Vision
  • Convolutional Neural Network
  • Optimize ANNs hyper parameters such as number of hidden layers and neurons to enhance network performance
  • Learn how to train network weights and biases and select the proper transfer functions.
  • Learn how to Create your own data-set
  • Retrain a pretrained model
  • YOLO object detector
  • Apply Convolutional Neural Networks to classify images.
  • build Deep Learning Algorithms from Scratch in Python Using NumPy and TensorFlow
  • Requirements
  • basics in math
  • basics in deep learning
  • Some basic Python programming skills
  • You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course.
  • All software and data used in the course are free.

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